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May 2021


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Ignacio Grossmann <[log in to unmask]>
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Ignacio Grossmann <[log in to unmask]>
Mon, 10 May 2021 23:36:08 -0400
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Dear Colleagues,

I am pleased to announce the publication of:

Advanced Optimization for Process Systems Engineering 

by Cambridge University Press (ISBN: 9781108831659).

This new textbook, which is aimed at the graduate and advanced 
undergraduate level, covers both basic and advanced concepts of 
optimization theory and methods for process systems engineers. Topics 
covered include continuous, discrete and logic optimization (linear, 
nonlinear, mixed-integer and generalized disjunctive programming), 
optimization under uncertainty (stochastic programming and flexibility 
analysis), and decomposition techniques (Lagrangean and Benders 
decomposition). Assuming only a basic background in calculus and linear 
algebra, key concepts, models and algorithms are Illustrated with 
numerous examples. There are end-of-chapter exercises involving 
theoretical derivations and small numerical problems, including modeling 
problems in GAMS. Two appendices are also provided containing web links 
to modeling systems and models related to applications in PSE.

The book, which is also available in digital form (ISBN: 9781108917834), 
should also be a good supplement to the recent book by Christos 
Maravelias, Chemical Production Scheduling: 

Mixed-Integer Programming Models and Methods 

Please let me know if you have any questions.

Best regards,


PS The book can be purchased from the Cambridge University link 

or from Amazon 

Ignacio E. Grossmann, R.R. Dean University Professor
Center for Advanced Process Decision-making (CAPD)
Department of Chemical Engineering  Tel: 412-268-3642
Carnegie Mellon University          Fax: 412-268-7139
Pittsburgh, PA 15213
email: [log in to unmask]